Modularization for the complex product considering the design change requirements

Author(s):  
Yupeng Li ◽  
Yongbo Ni ◽  
Na Zhang ◽  
Zhenhua Liu
2019 ◽  
Vol 28 (1) ◽  
pp. 57-76 ◽  
Author(s):  
Meng Wei ◽  
Yu Yang ◽  
Jiafu Su ◽  
Qiucheng Li ◽  
Zhichao Liang

Abstract In the real-world complex product design (CPD) process, task allocating is an ongoing reactive process where the presence of unexpected design change is usually inevitable. Therefore, reallocating is necessary to respond to design change positively as a procedure to repair the affected task plan. General reallocating literature addressed the reallocating versions with fixed executing time. In this paper, a multi-objective reallocation model is developed with a feasible assumption that the task executing time is controllable. To illustrate this idea, a compressing executing time strategy (CETS) is proposed in CPD process, where the executing time can be controlled with a non-linear compression cost. When design change occurs during the executing, task-resource reallocating is required to absorb the interference effects. Reallocating implies an increase in design cost and system instability; the proposed method CETS can address this issue effectively. CETS considers three objectives: completing time, stability, and change-adaptation cost. An adaptive multi-objective hybrid genetic algorithm and tabu search (AMOGATS) is developed to solve this mathematical method. The computational results of specific simulation examples verify the superiority. It shows that CETS is sensitive to design change, and the proposed algorithm AMOGATS can be effective to achieve the allocating by coordinating the objective consistency.


Kybernetes ◽  
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Na Zhang ◽  
Mengze Li ◽  
Haibing Ren ◽  
Yupeng Li

Purpose The development of complex products and systems is a continuously iterative process from customer requirements to a mature design. Design changes derived from multisources occur frequently during the design process. Furthermore, change propagation will impose impacts on design costs and lead times. In view of this, how to predict and control the propagation of multisource design change to reduce the changes impact is an urgent issue in the development of complex product. Design/methodology/approach In this paper, a new four-phase routing approach based on weighted and directed complex networks is proposed for multisource design change propagation. Phase I: as the foundation of this research, a product network model is established to quantify describe the complex product. Phase II: the hub nodes are identified based on the LeaderRank algorithm, which can be regarded as multisource nodes of design changes. Phase III: a calculation method for change propagation intensity is proposed, which improves the systematicness and accuracy of the evaluation results. In this paper, change propagation intensity is defined by four assessment factors: importance degree of parts, execution time of design tasks, coupling strength between parts and propagation likelihood. Phase IV: a routing method of multisource design change propagation and ant colony optimization algorithm are proposed in this paper, which can solve the coupling conflicts among change propagation paths and improve the search efficiency by using the parallel search strategy. Findings The proposed method and another method are used to search the optimal propagation path of multisource design change of a motorcycle engine; the results indicate that this method designed in this study has a positive effect on reducing the change impact, market response time and product design costs when design change occurs in the products design process. Originality/value The authors find a new method (a network-based four-phase routing approach) to search the optimal propagation path of multisource design change in complex products design.


Author(s):  
Rose Emergo ◽  
Steve Brockett

Abstract This paper outlines the systematic isolation of an electrostatic discharge defect on a depletion-mode FET. Topics covered are fault isolation, FIB-STEM cross-section and EDS analysis, and defect simulation. Multiple GaAs PA devices were submitted for analysis after failing different reliability stresses. Fault isolation revealed ESD damage on a DFET connected to the VMODE0 pin. Simulation of the failure showed that, most likely, the defect was caused by CDM stress. A design change of inserting a resistor between the VMODE0 pin and the DFET made the device more robust against CDM stress.


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